Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems - Tapa blanda

Sánchez, Adrián González; Mora, Jaime De; Ximénez, Jorge García

 
9798341623286: Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems
Tapa blanda
ISBN 13: 9798341623286
Editorial: O'Reilly Media, 2026

Sinopsis

Companies are now moving generative AI projects out of the lab and into production environments. To support these increasingly sophisticated applications, they're turning to advanced practices such as multi-agent architectures and complex code-based frameworks. This practical handbook shows you how to leverage cutting-edge techniques using Microsoft's powerful ecosystem of tools to deploy trustworthy AI systems tailored to your organization's needs.

Written for and by AI professionals, Generative AI on Microsoft Azure goes beyond the technical core aspects, examining underlying principles, tools, and practices in depth, from the art of prompt engineering to strategies for fine-tuning models to advanced techniques like retrieval-augmented generation (RAG) and agentic AI. Through real-world case studies and insights from top experts, you'll learn how to harness AI's full potential on Azure, paving the way for groundbreaking solutions and sustainable success in today's AI-driven landscape.

  • Understand the technical foundations of generative AI and how the technology has evolved over the last few years
  • Implement advanced GenAI applications using services like Microsoft Foundry or Copilot, among others
  • Leverage patterns, tools, frameworks, and platforms to customize AI projects
  • Manage, govern, and secure your AI-enabled systems with responsible AI practices
  • Learn to avoid common pitfalls, future-proof your applications, and more

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Acerca de los autores

Adrian Gonzalez Sanchez is a Global AI Specialist at Microsoft, as well as the Industrial AI Lead for the Spanish Observatory of Ethical AI (OdiseIA). He has previously worked with CGI Canada, IVADO Labs, Peritus.ai, and other data-driven companies in Europe and Latin America. He is a trainer for the École des Dirigeants at HEC Montréal and IE Business School, and he has authored online courses for O'Reilly Media, The Linux Foundation, and DeepLearning.ai. He also collaborates with 2U / GetSmarter for MIT Sloan's AI and Blockchain executive courses, and Harvard VPAL's Fintech course.

Jaime de Mora is a seasoned data expert and entrepreneurial leader with a proven track record of driving growth and innovation. As the General Manager of Microsoft for Startups in Western Europe, he supports the most disruptive start-ups and unicorns in their growth journey from a technical and business perspective. Prior to that, Jaime successfully scaled multiple start-ups from NYC and, as the Vice President of Growth at Carto, transformed the company from a niche data visualization tool into a leader in geolocated data analysis.

Jorge Garcia Ximenez is a Global AI Specialized Cloud Solution Architect at Microsoft. With a decade of experience in AI and cloud technologies, Jorge is passionate about bridging cutting-edge research with real-world applications and bringing the latest AI research into products. He specializes in generative AI, hybrid cloud/edge architectures, and agentic systems, working closely with clients to harness the full potential of AI. Based in Brussels, Jorge actively shares his insights at AI conferences and is dedicated to advancing generative AI solutions with Azure. He is also a member of the Advisory Board for the MLADS (Machine Learning, AI & Data Science) Conference AI Advisory Council and has been a reviewer for the O'Reilly book 'Azure OpenAI Service for Cloud Native Applications'.

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Editorial
O'Reilly Media
Año de publicación
2026
Idioma
Inglés
ISBN 13 
9798341623286
Encuadernación
Tapa blanda
Número de páginas
320
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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